Grey matter volume in healthy and epileptic beagles using voxel-based morphometry – a pilot study

Abstract Background One of the most common chronic neurological disorders in dogs is idiopathic epilepsy (IE) diagnosed as epilepsy without structural changes in the brain. In the current study the hypothesis should be proven that subtle grey matter changes occur in epileptic dogs. Therefore, magnet...

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Main Authors: Lisa Frank, Matthias Lüpke, Draginja Kostic, Wolfgang Löscher, Andrea Tipold
Format: Article
Language:English
Published: BMC 2018-02-01
Series:BMC Veterinary Research
Subjects:
MRI
Online Access:http://link.springer.com/article/10.1186/s12917-018-1373-8
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spelling doaj-4cbd617a200242d692a9488737a91ec32020-11-25T00:30:38ZengBMCBMC Veterinary Research1746-61482018-02-0114111410.1186/s12917-018-1373-8Grey matter volume in healthy and epileptic beagles using voxel-based morphometry – a pilot studyLisa Frank0Matthias Lüpke1Draginja Kostic2Wolfgang Löscher3Andrea Tipold4Department of Small Animal Medicine and Surgery, University of Veterinary MedicineDepartment of General Radiology and Medical Physics, University of Veterinary MedicineDepartment of Small Animal Medicine and Surgery, University of Veterinary MedicineDepartment of Pharmacology, Toxicology and Pharmacy, University of Veterinary MedicineDepartment of Small Animal Medicine and Surgery, University of Veterinary MedicineAbstract Background One of the most common chronic neurological disorders in dogs is idiopathic epilepsy (IE) diagnosed as epilepsy without structural changes in the brain. In the current study the hypothesis should be proven that subtle grey matter changes occur in epileptic dogs. Therefore, magnetic resonance (MR) images of one dog breed (Beagles) were used to obtain an approximately uniform brain shape. Local differences in grey matter volume (GMV) were compared between 5 healthy Beagles and 10 Beagles with spontaneously recurrent seizures (5 dogs with IE and 5 dogs with structural epilepsy (SE)), using voxel-based morphometry (VBM). T1W images of all dogs were prepared using Amira 6.3.0 for brain extraction, FSL 4.1.8 for registration and SPM12 for realignment. After creation of tissue probability maps of cerebrospinal fluid, grey and white matter from control images to segment all extracted brains, GM templates for each group were constructed to normalize brain images for parametric statistical analysis, which was achieved using SPM12. Results Epileptic Beagles (IE and SE Beagles) displayed statistically significant reduced GMV in olfactory bulb, cingulate gyrus, hippocampus and cortex, especially in temporal and occipital lobes. Beagles with IE showed statistically significant decreased GMV in olfactory bulb, cortex of parietal and temporal lobe, hippocampus and cingulate gyrus, Beagles with SE mild statistically significant GMV reduction in temporal lobe (p < 0.05; family- wise error correction). Conclusion These results suggest that, as reported in epileptic humans, focal reduction in GMV also occurs in epileptic dogs. Furthermore, the current study shows that VBM analysis represents an excellent method to detect GMV differences of the brain between a healthy dog group and dogs with epileptic syndrome, when MR images of one breed are used.http://link.springer.com/article/10.1186/s12917-018-1373-8Voxel-based morphometryDogsEpilepsyGrey matterMRI
collection DOAJ
language English
format Article
sources DOAJ
author Lisa Frank
Matthias Lüpke
Draginja Kostic
Wolfgang Löscher
Andrea Tipold
spellingShingle Lisa Frank
Matthias Lüpke
Draginja Kostic
Wolfgang Löscher
Andrea Tipold
Grey matter volume in healthy and epileptic beagles using voxel-based morphometry – a pilot study
BMC Veterinary Research
Voxel-based morphometry
Dogs
Epilepsy
Grey matter
MRI
author_facet Lisa Frank
Matthias Lüpke
Draginja Kostic
Wolfgang Löscher
Andrea Tipold
author_sort Lisa Frank
title Grey matter volume in healthy and epileptic beagles using voxel-based morphometry – a pilot study
title_short Grey matter volume in healthy and epileptic beagles using voxel-based morphometry – a pilot study
title_full Grey matter volume in healthy and epileptic beagles using voxel-based morphometry – a pilot study
title_fullStr Grey matter volume in healthy and epileptic beagles using voxel-based morphometry – a pilot study
title_full_unstemmed Grey matter volume in healthy and epileptic beagles using voxel-based morphometry – a pilot study
title_sort grey matter volume in healthy and epileptic beagles using voxel-based morphometry – a pilot study
publisher BMC
series BMC Veterinary Research
issn 1746-6148
publishDate 2018-02-01
description Abstract Background One of the most common chronic neurological disorders in dogs is idiopathic epilepsy (IE) diagnosed as epilepsy without structural changes in the brain. In the current study the hypothesis should be proven that subtle grey matter changes occur in epileptic dogs. Therefore, magnetic resonance (MR) images of one dog breed (Beagles) were used to obtain an approximately uniform brain shape. Local differences in grey matter volume (GMV) were compared between 5 healthy Beagles and 10 Beagles with spontaneously recurrent seizures (5 dogs with IE and 5 dogs with structural epilepsy (SE)), using voxel-based morphometry (VBM). T1W images of all dogs were prepared using Amira 6.3.0 for brain extraction, FSL 4.1.8 for registration and SPM12 for realignment. After creation of tissue probability maps of cerebrospinal fluid, grey and white matter from control images to segment all extracted brains, GM templates for each group were constructed to normalize brain images for parametric statistical analysis, which was achieved using SPM12. Results Epileptic Beagles (IE and SE Beagles) displayed statistically significant reduced GMV in olfactory bulb, cingulate gyrus, hippocampus and cortex, especially in temporal and occipital lobes. Beagles with IE showed statistically significant decreased GMV in olfactory bulb, cortex of parietal and temporal lobe, hippocampus and cingulate gyrus, Beagles with SE mild statistically significant GMV reduction in temporal lobe (p < 0.05; family- wise error correction). Conclusion These results suggest that, as reported in epileptic humans, focal reduction in GMV also occurs in epileptic dogs. Furthermore, the current study shows that VBM analysis represents an excellent method to detect GMV differences of the brain between a healthy dog group and dogs with epileptic syndrome, when MR images of one breed are used.
topic Voxel-based morphometry
Dogs
Epilepsy
Grey matter
MRI
url http://link.springer.com/article/10.1186/s12917-018-1373-8
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